To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CNVPanelizer")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see CNVPanelizer.
Bioconductor version: 3.3
A method that allows for the use of a collection of non-matched normal tissue samples. Our approach uses a non-parametric bootstrap subsampling of the available reference samples to estimate the distribution of read counts from targeted sequencing. As inspired by random forest, this is combined with a procedure that subsamples the amplicons associated with each of the targeted genes. The obtained information allows us to reliably classify the copy number aberrations on the gene level.
Author: Cristiano Oliveira [aut], Thomas Wolf [aut, cre], Albrecht Stenzinger [ctb], Volker Endris [ctb], Nicole Pfarr [ctb], Benedikt Brors [ths], Wilko Weichert [ths]
Maintainer: Thomas Wolf <thomas_wolf71 at gmx.de>
Citation (from within R,
enter citation("CNVPanelizer")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("CNVPanelizer")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CNVPanelizer")
R Script | CNVPanelizer | |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, CopyNumberVariation, Coverage, Normalization, Sequencing, Software |
Version | 1.2.2 |
In Bioconductor since | BioC 3.2 (R-3.2) (1 year) |
License | GPL-3 |
Depends | R (>= 3.2.0), GenomicRanges |
Imports | S4Vectors, grDevices, stats, utils, NOISeq, IRanges, Rsamtools, exomeCopy, foreach, ggplot2, plyr, openxlsx |
LinkingTo | |
Suggests | knitr, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | CNVPanelizer_1.2.2.tar.gz |
Windows Binary | CNVPanelizer_1.2.2.zip |
Mac OS X 10.9 (Mavericks) | CNVPanelizer_1.2.2.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/CNVPanelizer/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/CNVPanelizer/ |
Package Downloads Report | Download Stats |
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